Designing customized seating cushion supports for people with limited mobility is essential. A personalized cushion would help relieve seating pressure and prevent tissue injuries due to long-time sitting. This project aims to speed up and lower the cost of producing these cushions by using machine learning, and additive (3D) manufacturing techniques. This project is being […]

This work will support University of Alberta’s “IP and Commercialization Policy and Processes Review and Recommendations Committee”, responsible for creating a new IP and commercialization framework that supports innovation and entrepreneurship at the University of Alberta. The work of this Committee will be transformational for the U of A, and will define its innovation and […]

2.2 billion people live with vision impairment: Over 1 billion are preventable or treatable. Even though the majority of cases are in Developing Countries, 75% of vision loss in Canada is preventable and 1 out of 5 Canadians are at risk of vision loss. Our emerging crisis of preventable blindness costs the Canadian government almost […]

Boreal caribou are federally listed as threatened due to widespread population declines. The main cause of decline is predation, which is influenced by human-caused landscape disturbance and climate change. Recent evidence suggests that black bear predation of caribou calves may be hindering the recovery of some caribou populations, but this impact is poorly understood in […]

We do not have an effective Canadian Curriculum-Based Measurement Tool. Moreover, existing tools do not incorporate Artificial Intelligence. We aim to develop a tool that will enable the targeted and brief assessment of gaps in student literacy skills with the aim of allowing strategic instruction to be planned and delivered based on those gaps. Identifying […]

Landfill leachate is a complex wastewater composed of organic carbon, nitrogen compounds, dissolved solids, and heavy metals. Leachate characteristics may differ depending on the waste landfilled, climate conditions, and landfill age. Because of the toxic and recalcitrant nature of its constituents, landfill leachate wastewater (LLW) must be treated before being released to the environment. There […]

Open-ended questions are where respondents consider hypothetical scenarios that they might encounter in real life and describe what action(s) they might take in response to each situation. To assess a test-taker’s responses to these questions, a human scoring process (i.e., human raters marking each response individually) is followed. Despite following clear scoring criteria, human raters […]

There has been an increased commitment to capping GHG emissions from oil/gas (O/G) operations. However, reliable monitoring and quantification of methane emissions from particular sources are difficult for several reasons: (1) high-resolution sampling data over an extensive geographical area is rare; (2) identifying emission sources from large-scale monitoring satellite data is extremely challenging, often yielding […]

Calves are born without antibodies needed to fight off disease. The only source of antibodies available for the first few weeks of a calf’s life comes from maternal colostrum, the first milk produced by the cow. Calves are able to absorb these antibodies for approximately 24 hours of life, and absorption rates vary widely. Currently, […]

AltaML is a purpose-driven organization, with a mission to apply AI to elevate human potential. We describe ourselves as an Applied AI Studio, meaning we operate as a venture studio for applied AI. We work with large organizations through Corporate Lab engagements, continuously examining different AI use cases and moving the most valuable models to […]

The goal of this project is to train and test a machine learning algorithm to detect pharmaceutical contaminants in water. Surface nanodroplets will be generated for several key compounds. These, will be used as independent extraction medium with varying contaminant concentration. The large number of droplets will enable collection of a high quality training data […]

Sequestration of atmospheric and industrial CO2 through carbonation of reactive waste minerals is a proven method for curbing emissions from the mining sector. Carbonation technologies have also been shown to be effective at reducing potentially toxic metal mobility in alkaline mine wastes. However, the molecular scale mechanisms of metal cycling associated with mineral transformation reactions […]